This research offers the optimization model, which is Pure integer linear programming (PILP), to solve the product mix problem based-on resources of time. The objective function is to maximize profit.

Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization using ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

Scientists in Iran have developed a novel framework to optimize the capacity of PV and battery storage in smart homes, using a two-stage stochastic programming model. They considered the uncertainties ...

Innovative AI techniques in cement formulation lead to eco-friendly mixes, significantly cutting emissions and improving ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

Nearly 50 years ago, physicists floated a bold idea: our universe might be stuck in a false vacuum. This state feels stable, ...

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

A high-performance, modular Go library for exploring hybrid genetic algorithms (SGA, NSGA-II, SPEA2, FR-NSGA2) applied to multi-objective graph layout and other optimization problems.

Kipu Quantum, a leader in application and hardware-specific quantum computing solutions, and IonQ (NYSE: IONQ), a leading commercial quantum computing and networking company, proudly announced a ...